# Agentic AI Feature Management

> Use this tool when you need to automate feature management requests from support tickets, and streamline feature status checks, enablements, and disablements across customer accounts. It processes natural language ticket descriptions to extract structured requests, providing a secure and modular interface for integration with external APIs. Ideal for use cases requiring efficient and secure feature management, with inputs including Jira webhook tickets and outputs including feature status updates and audit logs.

Canonical page: https://skillsregistry.net/skills/aliazam2012-agentic-ai-feature-management  
JSON: https://api.skillsregistry.net/v1/skills/aliazam2012-agentic-ai-feature-management

## Description

Processes Jira webhook tickets using AWS Bedrock's Claude 3 Haiku to extract structured feature management requests from natural language support ticket descriptions. Provides three core tools for checking feature status, enabling features, and disabling features across customer accounts. Features comprehensive security measures including prompt injection detection, input sanitization, rate limiting, and audit logging. Built with a modular architecture separating the Lambda handler, MCP server, and security components, supporting both mock and production modes with OAuth2 authentication for external API integration.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aliazam2012-agentic-ai-feature-management)
- **Repository:** <https://github.com/aliazam2012/agentic-ai-mcp-feature-management>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aliazam2012-agentic-ai-feature-management"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aliazam2012-agentic-ai-feature-management` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aliazam2012-agentic-ai-feature-management/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt